Mao‐Xin Wang

768 total citations
29 papers, 587 citations indexed

About

Mao‐Xin Wang is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Mao‐Xin Wang has authored 29 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 15 papers in Management, Monitoring, Policy and Law and 13 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Mao‐Xin Wang's work include Landslides and related hazards (15 papers), Geotechnical Engineering and Analysis (13 papers) and Seismic Performance and Analysis (12 papers). Mao‐Xin Wang is often cited by papers focused on Landslides and related hazards (15 papers), Geotechnical Engineering and Analysis (13 papers) and Seismic Performance and Analysis (12 papers). Mao‐Xin Wang collaborates with scholars based in China, Hong Kong and United Kingdom. Mao‐Xin Wang's co-authors include Dianqing Li, Wenqi Du, Gang Wang, Dejun Sun, Duruo Huang, Tao Wu, Xiaosong Tang, Xiao-Song Tang, Xiaohui Qi and Dian-Qing Li and has published in prestigious journals such as RSC Advances, Bulletin of the Seismological Society of America and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Mao‐Xin Wang

28 papers receiving 580 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mao‐Xin Wang China 13 352 225 198 52 47 29 587
Dongmei Zhang China 17 702 2.0× 434 1.9× 72 0.4× 65 1.3× 140 3.0× 53 948
Qingzi Luo China 14 573 1.6× 208 0.9× 97 0.5× 37 0.7× 45 1.0× 34 768
Ali Assadi Iran 15 510 1.4× 343 1.5× 81 0.4× 66 1.3× 58 1.2× 46 984
Junhui Zhang China 12 200 0.6× 49 0.2× 27 0.1× 52 1.0× 39 0.8× 43 463
Ali Ghorbani Iran 18 829 2.4× 242 1.1× 63 0.3× 33 0.6× 99 2.1× 53 1.0k
Eric C. Drumm United States 19 947 2.7× 305 1.4× 229 1.2× 85 1.6× 80 1.7× 87 1.3k
Jiawei Liu China 14 226 0.6× 80 0.4× 67 0.3× 73 1.4× 28 0.6× 59 538
Chuang Yu China 14 452 1.3× 58 0.3× 33 0.2× 24 0.5× 44 0.9× 56 737
Hossein MolaAbasi Iran 21 974 2.8× 186 0.8× 36 0.2× 35 0.7× 55 1.2× 53 1.1k

Countries citing papers authored by Mao‐Xin Wang

Since Specialization
Citations

This map shows the geographic impact of Mao‐Xin Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mao‐Xin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao‐Xin Wang more than expected).

Fields of papers citing papers by Mao‐Xin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Xin Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mao‐Xin Wang. The network helps show where Mao‐Xin Wang may publish in the future.

Co-authorship network of co-authors of Mao‐Xin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mao‐Xin Wang. A scholar is included among the top collaborators of Mao‐Xin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mao‐Xin Wang. Mao‐Xin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Deng, Zhiping, et al.. (2025). Analysis of the time-varying reliability of earth dam slopes considering multiparameter spatial variability. Computers and Geotechnics. 188. 107558–107558. 1 indexed citations
3.
He, Shaoheng, et al.. (2025). Impact of plane strain state on the long-term cyclic behavior of sand under true triaxial tests. Transportation Geotechnics. 52. 101512–101512. 2 indexed citations
4.
Wang, Mao‐Xin, et al.. (2025). Ground-motion models for Arias intensity, cumulative absolute velocity, and duration parameters in Türkiye. Soil Dynamics and Earthquake Engineering. 196. 109440–109440. 3 indexed citations
5.
6.
Wang, Mao‐Xin & Yat Fai Leung. (2024). Amplification factors of intensity measures for site-specific PSHA using spectrally equivalent pulse-like and non-pulse-like ground motion records. Soil Dynamics and Earthquake Engineering. 187. 108970–108970. 5 indexed citations
7.
Wang, Mao‐Xin & Yat Fai Leung. (2024). Quick estimation of critical acceleration of slopes through a single prediction equation. Japanese Geotechnical Society Special Publication. 10(18). 633–637. 1 indexed citations
8.
Wang, Mao‐Xin, Dianqing Li, & Wenqi Du. (2024). Correlations between spectrum‐based and other ground‐motion intensity measures considering various damping ratios. Earthquake Spectra. 41(2). 1223–1246. 1 indexed citations
9.
Wang, Mao‐Xin & Dianqing Li. (2024). Predictive equations for earthquake-induced dynamic response and permanent displacements of slopes considering bedrock depth and impedance contrast. Engineering Geology. 345. 107861–107861. 3 indexed citations
10.
Wang, Mao‐Xin & Gang Wang. (2024). Damping‐dependent correlations between horizontal‐horizontal, horizontal‐vertical, and vertical‐vertical pairs of spectral accelerations. Earthquake Engineering & Structural Dynamics. 53(7). 2423–2444. 7 indexed citations
11.
Wang, Mao‐Xin, Yat Fai Leung, & Dianqing Li. (2024). Neural network-assisted generic predictive models of safety factor and yield acceleration for seismic slope stability and displacement assessments. Canadian Geotechnical Journal. 62. 1–19. 2 indexed citations
12.
Wang, Mao‐Xin, et al.. (2024). Semiempirical Predictive Models for Seismically Induced Slope Displacements Considering Ground Motion Directionality. Journal of Geotechnical and Geoenvironmental Engineering. 150(9). 4 indexed citations
13.
Wang, Mao‐Xin, et al.. (2023). Numerical-based seismic displacement hazard analysis for earth slopes considering spatially variable soils. Soil Dynamics and Earthquake Engineering. 171. 107967–107967. 24 indexed citations
14.
Wang, Mao‐Xin, et al.. (2023). Artificial neural network-aided decoupled prediction of earthquake-induced shallow and deep sliding displacements of slopes. Computers and Geotechnics. 164. 105844–105844. 12 indexed citations
15.
Wang, Mao‐Xin, Dianqing Li, Yong Liu, & Wenqi Du. (2022). Probabilistic decoupled approach to estimate seismic rotational displacements of flexible slopes considering depth-dependent soil variability. Acta Geotechnica. 17(4). 1551–1567. 14 indexed citations
16.
Yan, Xu‐Feng, et al.. (2020). Investigation of Transient Wave Behavior in Water Pipelines with Blockages. Journal of Hydraulic Engineering. 147(2). 13 indexed citations
17.
Wang, Mao‐Xin, Duruo Huang, Gang Wang, & Dianqing Li. (2020). SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes. Journal of Geotechnical and Geoenvironmental Engineering. 146(9). 95 indexed citations
18.
Tang, Xiaosong, Mao‐Xin Wang, & Dianqing Li. (2020). Modeling multivariate cross-correlated geotechnical random fields using vine copulas for slope reliability analysis. Computers and Geotechnics. 127. 103784–103784. 63 indexed citations
19.
Wang, Mao‐Xin, Bo Zhang, Gongrang Li, Tao Wu, & Dejun Sun. (2019). Efficient remediation of crude oil-contaminated soil using a solvent/surfactant system. RSC Advances. 9(5). 2402–2411. 65 indexed citations
20.
Wang, Mao‐Xin, et al.. (2019). First Report of Alfalfa Leaf Curl Virus Infecting Alfalfa (Medicago sativa) in China. Plant Disease. 104(3). 1001–1001. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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